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      Forward design of a complex enzyme cascade reaction

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      Nature Communications
      Nature Publishing Group

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          Abstract

          Enzymatic reaction networks are unique in that one can operate a large number of reactions under the same set of conditions concomitantly in one pot, but the nonlinear kinetics of the enzymes and the resulting system complexity have so far defeated rational design processes for the construction of such complex cascade reactions. Here we demonstrate the forward design of an in vitro 10-membered system using enzymes from highly regulated biological processes such as glycolysis. For this, we adapt the characterization of the biochemical system to the needs of classical engineering systems theory: we combine online mass spectrometry and continuous system operation to apply standard system theory input functions and to use the detailed dynamic system responses to parameterize a model of sufficient quality for forward design. This allows the facile optimization of a 10-enzyme cascade reaction for fine chemical production purposes.

          Abstract

          Building multi-component enzymatic processes in one pot is challenged by the inherent complexity of each biochemical system. Here, the authors use online mass spectroscopy and engineering systems theory to achieve forward design of a ten-membered reaction cascade.

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          Most cited references27

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          Systems Biology Toolbox for MATLAB: a computational platform for research in systems biology.

          We present a Systems Biology Toolbox for the widely used general purpose mathematical software MATLAB. The toolbox offers systems biologists an open and extensible environment, in which to explore ideas, prototype and share new algorithms, and build applications for the analysis and simulation of biological and biochemical systems. Additionally it is well suited for educational purposes. The toolbox supports the Systems Biology Markup Language (SBML) by providing an interface for import and export of SBML models. In this way the toolbox connects nicely to other SBML-enabled modelling packages. Models are represented in an internal model format and can be described either by entering ordinary differential equations or, more intuitively, by entering biochemical reaction equations. The toolbox contains a large number of analysis methods, such as deterministic and stochastic simulation, parameter estimation, network identification, parameter sensitivity analysis and bifurcation analysis.
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            Dynamic modeling of the central carbon metabolism of Escherichia coli.

            Application of metabolic engineering principles to the rational design of microbial production processes crucially depends on the ability to describe quantitatively the systemic behavior of the central carbon metabolism to redirect carbon fluxes to the product-forming pathways. Despite the importance for several production processes, development of an essential dynamic model for central carbon metabolism of Escherichia coli has been severely hampered by the current lack of kinetic information on the dynamics of the metabolic reactions. Here we present the design and experimental validation of such a dynamic model, which, for the first time, links the sugar transport system (i.e., phosphotransferase system [PTS]) with the reactions of glycolysis and the pentose-phosphate pathway. Experimental observations of intracellular concentrations of metabolites and cometabolites at transient conditions are used to validate the structure of the model and to estimate the kinetic parameters. Further analysis of the detailed characteristics of the system offers the possibility of studying important questions regarding the stability and control of metabolic fluxes.
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              Synthetic non-oxidative glycolysis enables complete carbon conservation.

              Glycolysis, or its variations, is a fundamental metabolic pathway in life that functions in almost all organisms to decompose external or intracellular sugars. The pathway involves the partial oxidation and splitting of sugars to pyruvate, which in turn is decarboxylated to produce acetyl-coenzyme A (CoA) for various biosynthetic purposes. The decarboxylation of pyruvate loses a carbon equivalent, and limits the theoretical carbon yield to only two moles of two-carbon (C2) metabolites per mole of hexose. This native route is a major source of carbon loss in biorefining and microbial carbon metabolism. Here we design and construct a non-oxidative, cyclic pathway that allows the production of stoichiometric amounts of C2 metabolites from hexose, pentose and triose phosphates without carbon loss. We tested this pathway, termed non-oxidative glycolysis (NOG), in vitro and in vivo in Escherichia coli. NOG enables complete carbon conservation in sugar catabolism to acetyl-CoA, and can be used in conjunction with CO2 fixation and other one-carbon (C1) assimilation pathways to achieve a 100% carbon yield to desirable fuels and chemicals.
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                Author and article information

                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group
                2041-1723
                28 September 2016
                2016
                : 7
                : 12971
                Affiliations
                [1 ]Department of Biosystems Science and Engineering , ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland
                Author notes
                [*]

                Present address: Department of Systems Biology, Columbia University, 1130 St Nicholas Avenue, New York, New York 10032, USA

                Article
                ncomms12971
                10.1038/ncomms12971
                5052792
                27677244
                bd559db8-0748-4006-9a34-8a075eb81b78
                Copyright © 2016, The Author(s)

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 13 February 2016
                : 18 August 2016
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